Concrete structures when exposed to elevated temperature significantly decline their
original properties. High temperatures substantially affect the concrete physical and …

This study advances the field of concrete compressive strength prediction by introducing an
innovative approach incorporating recycled coarse aggregates and the Newton's Boosted …

This study presents a comprehensive study on the prediction of high-performance concrete
(HPC) properties using various regression models. The objective was to develop accurate …

In the field of construction, the workability of concrete, specifically its ability to flow, is one of
the most concerned parameters. In recent times, the integration of artificial intelligence (AI) …

In structural engineering, accurately predicting the load-carrying capacity of columns is
paramount for ensuring the safety and efficiency of construction projects. This study …

Compressive strength (CS) of concrete is one of the most important factors in the
construction industry and various time and effort-consuming tasks are required to measure it …

This article explores the possibility of predicting the compliance coefficients for composite
shear keys of built-up timber beams using artificial neural networks. The compliance …

This study explores the application of a Multilayer Perceptron (MLP) deep learning model to
predict the compressive strength of High Performance Concrete (HPC). The dataset …

Forecasting the compressive strength of high-performance concrete (HPC) is crucial for its
practical applications. However, conducting experimental tests for this purpose demands …

The current research delves into enhancing the sustainability of construction materials by
incorporating iron waste into concrete mixtures. The primary aim revolves around predicting …